Regional determinants of road traffic accidents in Nigeria: identifying risk areas in need of intervention

Osayomi, Tolulope

doi:10.1080/19376812.2012.750224

Cited by 24 publications

(27 citation statements)

References 16 publications

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“…Studies on RTC in Nigeria have focused on the spatial pattern of casualties (Aderamo ), regional variation of crashes (Osayomi ) and spatial distribution of crashes (Osayomi and Areola ). However, no study has analysed the effect of exposure, network and socio‐demographic characteristics on mortality and morbidity.…”

Section: Introductionmentioning

confidence: 99%

Exploratory spatial analysis of traffic crashes, road mortality and morbidity in Nigeria

Akinyemi¹

2019

Int Social Sci J

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This study examined the spatial distribution of road traffic crashes, mortality and morbidity in Nigeria for the period 2007–2017. The influence of exposure, road network and socio‐demographic characteristics on fatalities and injuries was analysed. Data were obtained from Federal Road Safety Corps and Annual Abstract of Statistics. Spatial statistical techniques were employed to determine the pattern of crashes, mortality and morbidity. Ordinary least squares and geographically weighted regression models were used to identify significant variables. Crashes and mortality declined by 47.9 per cent and 46.3 per cent respectively, while morbidity increased by 78.6 per cent. Crashes, mortality and morbidity were significantly clustered and high in Niger, Kaduna, FCT, Kogi and Nassarawa States. FCT recorded the highest crashes and injured persons, while Kaduna recorded the highest fatalities. Variables that significantly influenced spatial variation of mortality and morbidity were length of asphaltic concrete, surfaced dressed and earth roads, unemployment and population density. This study shows that type of road is a major factor that contributes to road crash mortality and morbidity. Crash countermeasures such as implementation of safety standards during road construction, speed reduction strategies and enforcement of seat belt use and child restraint should be implemented.

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Section: Introductionmentioning

confidence: 99%

Exploratory spatial analysis of traffic crashes, road mortality and morbidity in Nigeria

Akinyemi¹

2019

Int Social Sci J

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“…In order to determine the socio-economic characteristics that significantly influence the use of indigenous methods in seasonal climate prediction and adaptation among farmers in ATISBO Local Government Area of Oyo State, the identified socio-economic variables were subjected to a stepwise regression analysis. Stepwise regression analysis not only identifies the key variables out of so many variables that explain a phenomenon or dependent variable, but it also has the power to indicate the contribution of each independent variable to the dependent variable (Osayomi, 2012). Having subjected the variables to a stepwise regression analysis, it was then finally hypothesised that the use of indigenous methods in seasonal climate prediction and adaptation among farmers in the study area is significantly influenced by age, duration of stay in locality and education of the farmers.…”

Section: Age Of the Farmermentioning

confidence: 99%

The Use of Indigenous Methods in Seasonal Climate Prediction and Adaptation among Farmers in Atisbo Local Government Area of Oyo State, Nigeria

Adeleke

2019

International Journal of Geography and Geology

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In recent times, agricultural productivity has been on the decline in ATISBO Local Government of Oyo State due to neglect by the government and more recently, severity of climate change. More worrisome is the fact that farmers do not have access to modern technologies for climate prediction and adaptation which has made them to rely heavily on their indigenous methods. Consequently, the focus of this study is to investigate the indigenous methods used by farmers in climate prediction and adaptation as well as the effects of climate change on crop yield. Data for the study were obtained via a structured questionnaire and focus group discussion involving 260 farmers. It was found that farmers' age (R²=19.7%; B=0.444), duration of stay in locality (R²=35.7%; B=0.598) and education (R²=38.9%; B=-0.623) were the major determinants of the use of indigenous methods in climate prediction and adaptation. Animal behaviour, plant phenology, atmospheric changes, astronomical changes and water bodies were the major indigenous methods of climate prediction while multi cropping and contour ploughing were some adaptive measures. Crop yields of the farmers declined drastically while it is glaring that climate change is taking its toll on the indigenous methods of farmers. The paper recommends easy access of farmers to modern technologies for climate prediction and adaptation, as well as the integration of indigenous methods with scientific method. Contribution/Originality: This study is one of the very few studies to investigate the use of indigenous methods in seasonal climate prediction and adaptation among farmers in Nigeria. Although different indigenous methods were reported, the severity of climate change is beginning to take its toll on the indigenous methods of farmers. 1. INTRODUCTION In Oyo State, like in many other parts of Nigeria, the majority of the people live in rural areas where poverty and deprivation are the most severe. The dependence of rural dwellers on agriculture and its overall contribution to the economy makes agriculture a key industry in Oyo State. It is the single largest employer of labour, a source of raw materials to industries and a major source of revenue to the state. The rapid population growth rate experienced in the state suggests that agriculture now has more mouths to feed than ever before. With a population of over 5,000,000 people (National Population Commission, 2006) agriculture has not been able to meet the increasing and more diversified food requirements of the population. Thus, from being self-sufficient in food production, the state is now experiencing a serious food crisis due to uncertainty in seasonal prediction for crop

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“…The data attributes include population size, number of local government area, road infrastructure, traffic volume represented by number of registered vehicle, driver's license issued, state area, railway length, average household size, illiteracy level and level of unemployment. These factors were selected based on review of the relevant literature (Jegede, 1988;Filani and Gbadamosi, 2007;Atubi and Onokala, 2009;Osayomi, 2013).…”

Section: Data Sources and Variablesmentioning

confidence: 99%

“…Studies in Nigeria have observed that incidence of road traffic accidents and injuries in general are on the increase (Ikporukpo, 2004;Arosanyin et al, 2013;Osayomi, 2013). For instance, between January 2007 and June 2010, about 4076 people were killed and 12,994 injured in 4017 cases of accidents involving tankers in Nigeria (FRSC, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…In general, road traffic accidents literature in the country have focused on the spatial pattern, causes, magnitude, safety issues and socio-economic cost of road traffic accidents (Oyemade, 1973;Jegede, 1988;Asogwa, 1992;Osime et al, 2006;Filani and Gbadamosi, 2007;Ipingbemi, 2008;Ipingbemi, 2012;Atubi and Onokala, 2009;Arosanyin et al, 2013;Osayomi, 2013). Conspicuously absent from the literature are studies on explorative analyses of the spatial patterns and determinants of tanker accidents in the country.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the spatial patterns of tanker accidents in Nigeria using geographically weighted regression

Olawole

Olapoju

2018

IJVS

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Road traffic accidents involving tankers are important causes of death and injury in Nigeria. This study examined spatial patterns and possible determinants of tanker accidents in Nigeria. Secondary data on tanker accidents for the year 2007 to 2010 and other relevant data were sourced from the databases of the Federal Road Safety Commissions of Nigeria and National Bureau of Statistics. The spatial patterns of tanker accidents were mapped using Global and local Moran's I statistics. The data were also subjected to Ordinary Least Square and Geographically Weighted Regression techniques. Findings indicated that tanker accidents vary by state and also revealed an upward trend in the occurrence of tanker accidents. The local Moran's I indicate persistent clustering of tanker accidents in two states throughout the study periods. Factors influencing the patterns of tanker accidents in the country were identified. The study recommends strategies for the avoidance of tanker accidents in Nigeria.

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Regional determinants of road traffic accidents in Nigeria: identifying risk areas in need of intervention

Cited by 24 publications

References 16 publications

Exploratory spatial analysis of traffic crashes, road mortality and morbidity in Nigeria

Exploratory spatial analysis of traffic crashes, road mortality and morbidity in Nigeria

The Use of Indigenous Methods in Seasonal Climate Prediction and Adaptation among Farmers in Atisbo Local Government Area of Oyo State, Nigeria

Understanding the spatial patterns of tanker accidents in Nigeria using geographically weighted regression

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